DocumentCode
1167484
Title
Wide area network performance modeling of distributed energy management systems
Author
Langhorne, Christine ; Carlson, Chris ; Chowdhury, Shak
Author_Institution
Controls Div., Harris Corp., Melbourne, FL, USA
Volume
9
Issue
2
fYear
1994
fDate
5/1/1994 12:00:00 AM
Firstpage
730
Lastpage
735
Abstract
A distributed energy management system consists of networked hardware and software capable of monitoring and controlling the operations of an electric utility. When several of these distributed systems are connected to each other via wide area network connections, then a truly geographically distributed environment exists where data between systems can be shared. Heavy communication network loads and transit time constraints on these large amounts of shared data are significant design considerations, especially in light of the fact that most power utilities have existing private networks or use leased voice grade circuits. Modeling of the wide area network aspects of interconnected energy management systems was seen as a way to identify potential communications problem areas between systems early in the design process. Modeling would also help verify that the hardware and software designs would accommodate the communications load and ensure that transit times were within the system´s functional requirements. System stress case data was used in each model to simulate a worst-case data acquisition and dissemination environment. This paper describes the modeled configuration and provides specific details about the system simulation techniques used and the conclusions provided by the model to estimate transit times and line rates for WAN connections
Keywords
load management; power system computer control; power system measurement; wide area networks; EMS; SCADA; WAN connections; communication network loads; distributed energy management systems; geographically distributed environment; networked hardware; power system control; power system operation; transit time constraints; wide area network performance modeling; worst-case data acquisition; worst-case data dissemination; Communication networks; Communication system control; Control systems; Energy management; Hardware; Monitoring; Power industry; Power system modeling; Time factors; Wide area networks;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.317668
Filename
317668
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